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1 Ergebnisse
1
Adapting to Evasive Tactics through Resilient Adversarial M..:
, In:
2024 11th International Conference on Computing for Sustainable Global Development (INDIACom)
,
Krishna, G Bala
;
Sravan Kumar, G
;
Ramachandra, Mummadi
... - p. 1735-1741 , 2024
Link:
https://doi.org/10.23919/INDIACom61295.2024.10498313
RT T1
2024 11th International Conference on Computing for Sustainable Global Development (INDIACom)
: T1
Adapting to Evasive Tactics through Resilient Adversarial Machine Learning for Malware Detection
UL https://suche.suub.uni-bremen.de/peid=ieee-10498313&Exemplar=1&LAN=DE A1 Krishna, G Bala A1 Sravan Kumar, G A1 Ramachandra, Mummadi A1 Sampurnima Pattem, K A1 Rani, D Sandhya A1 Kakarla, Geeta YR 2024 K1 Support vector machines K1 Adaptation models K1 Recurrent neural networks K1 Adaptive systems K1 Malware K1 Adversarial machine learning K1 Convolutional neural networks K1 Data privacy K1 Distributed ledger K1 Smart contracts K1 Organizations K1 Blockchains K1 Faces K1 Digital signatures K1 Block chain K1 Consensus algorithm K1 Challenges of Block chain SP 1735 OP 1741 LK http://dx.doi.org/https://doi.org/10.23919/INDIACom61295.2024.10498313 DO https://doi.org/10.23919/INDIACom61295.2024.10498313 SF ELIB - SuUB Bremen
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